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Does This App Respect My Privacy? Design and Evaluation of Information Materials Supporting Privacy-Related Decisions of Smartphone Users

Kulyk, Oksana; Gerber, Paul; Marky, Karola; Beckmann, Christopher ORCID iD icon; Volkamer, Melanie

Abstract (englisch):

Over the years, the wide-spread usage of smartphones leads to large amounts of personal data being stored by them. These data, in turn, can be accessed by the apps installed on the smartphones, and potentially misused, jeopardizing the privacy of smartphone users. While the app stores provide indicators that allow an estimation of the privacy risks of individual apps, these indicators have repeatedly been shown as too confusing for the lay users without technical expertise. We have developed an information flyer with the goal of providing decision support for these users and enabling them make more informed decisions regarding their privacy upon choosing and installing smartphone apps. Our flyer is based on previous research in mental models of smartphone privacy and security and includes heuristics for choosing privacy-friendlier apps used by IT-Security experts. It also addresses common misconceptions of users regarding smartphones. The flyer was evaluated in a user study. The results of the study show, that the users who read the flyer tend to take privacy-relevant factors into account by relying on the heuristics in the flyer more often. ... mehr

Postprint §
DOI: 10.5445/IR/1000090893
Veröffentlicht am 03.07.2020
DOI: 10.14722/usec.2019.23029
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 24.02.2019
Sprache Englisch
Identifikator ISBN: 978-1-891562-57-0
KITopen-ID: 1000090893
Erschienen in Proceedings 2019 Workshop on Usable Security. Ed.: M.F. Theofanos
Veranstaltung NDSS Workshop on Usable Security (USEC 2019), San Diego, CA, USA, 24.02.2019
Projektinformation GHOST (EU, H2020, 740923)
Nachgewiesen in Dimensions
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